アスペンテックジャパン/AspenTech Company Overview

In this interview, Wafa Said-Ibrahim, a long-time expert at AspenTech, explains the benefits of the Aspen Exchanger Design & Rating (EDR) software, which is designed to assist in the optimal modeling of heat exchangers. Wafa is a Principal Solution Consultant at AspenTech, specializing in process engineering and process simulation. With over 40 years of experience in the process industry, she has primarily worked in various roles within the oil and gas sector. Her tenure at AspenTech spans over 20 years, during which she has provided customer support and solution consulting for process simulation and heat exchanger sizing software, assisting major oil and gas companies and EPC firms in North America. Wafa collaborates with many industry leaders to design systems that push assets to their performance limits. For more details, please refer to the related catalog.

A comprehensive oil and gas company faced the challenge of unplanned downtime occurring in critical assets such as turbo expanders, gas compressors, and gas turbines. The potential impact of unplanned downtime includes costly repairs and maintenance, along with a daily cost of \$1.2 million due to production delays. Early detection of events is crucial as it allows valuable time to be returned to production and enables the mitigation or resolution of issues through operations. The company implemented AspenTech's prescriptive maintenance solution, Aspen Mtell, to improve asset uptime and reliability. **What Aspen Mtell Can Do** - Provides accurate early warnings of critical asset failures up to 23 days in advance. - Enhances the reliability of critical assets and plant uptime, ensuring uninterrupted operations. - Improves process safety, resulting in reduced environmental impact and associated costs. - Reduces annual maintenance costs across the site by quickly extending solutions to similar assets using Aspen Mtell's transfer learning capabilities. For more details, please refer to the related catalog.

Despite the increasing demand for sustainable fuels and chemicals, the design and scale-up of bio-feedstock processing remain challenging issues. In any new process, it is essential to appropriately consider the complex atomic-level components of the feedstock and the methods for extracting, converting, and refining the desired products. While experimental research can elucidate some of these complexities, ultimately, digital solutions are necessary to scale up the process and assess its economic feasibility. **The Important Role of Digital Technology** - Characterization of Renewable Feedstocks - Biofeed Data Bank - Biodiesel Data Bank - Template Models for Vegetable Oil Processes - Modeling of Bioprocesses - Fermentation - Pyrolysis - Scale-up and Economic Evaluation of Bioprocesses For more details, please refer to the related catalog.